Dataset statistics
| Number of variables | 10 |
|---|---|
| Number of observations | 752 |
| Missing cells | 388 |
| Missing cells (%) | 5.2% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 58.9 KiB |
| Average record size in memory | 80.2 B |
Variable types
| NUM | 9 |
|---|---|
| BOOL | 1 |
Reproduction
| Analysis started | 2020-08-05 18:43:09.164852 |
|---|---|
| Analysis finished | 2020-08-05 18:43:25.979447 |
| Duration | 16.81 seconds |
| Version | pandas-profiling v2.8.0 |
| Command line | pandas_profiling --config_file config.yaml [YOUR_FILE.csv] |
| Download configuration | config.yaml |
BloodPressure has 28 (3.7%) missing values | Missing |
Insulin has 360 (47.9%) missing values | Missing |
df_index has unique values | Unique |
Pregnancies has 108 (14.4%) zeros | Zeros |
| Distinct count | 752 |
|---|---|
| Unique (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 385.01462765957444 |
|---|---|
| Minimum | 0 |
| Maximum | 767 |
| Zeros | 1 |
| Zeros (%) | 0.1% |
| Memory size | 5.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 38.55 |
| Q1 | 194.75 |
| median | 385.5 |
| Q3 | 577.25 |
| 95-th percentile | 729.45 |
| Maximum | 767 |
| Range | 767 |
| Interquartile range (IQR) | 382.5 |
Descriptive statistics
| Standard deviation | 221.5469605 |
|---|---|
| Coefficient of variation (CV) | 0.575424788 |
| Kurtosis | -1.198922796 |
| Mean | 385.0146277 |
| Median Absolute Deviation (MAD) | 191.5 |
| Skewness | -0.003831991044 |
| Sum | 289531 |
| Variance | 49083.05571 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 767 | 1 | 0.1% | |
| 253 | 1 | 0.1% | |
| 262 | 1 | 0.1% | |
| 261 | 1 | 0.1% | |
| 260 | 1 | 0.1% | |
| 259 | 1 | 0.1% | |
| 258 | 1 | 0.1% | |
| 257 | 1 | 0.1% | |
| 256 | 1 | 0.1% | |
| 255 | 1 | 0.1% | |
| Other values (742) | 742 | 98.7% |
| Value | Count | Frequency (%) | |
| 0 | 1 | 0.1% | |
| 1 | 1 | 0.1% | |
| 2 | 1 | 0.1% | |
| 3 | 1 | 0.1% | |
| 4 | 1 | 0.1% |
| Value | Count | Frequency (%) | |
| 767 | 1 | 0.1% | |
| 766 | 1 | 0.1% | |
| 765 | 1 | 0.1% | |
| 764 | 1 | 0.1% | |
| 763 | 1 | 0.1% |
| Distinct count | 17 |
|---|---|
| Unique (%) | 2.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.851063829787234 |
|---|---|
| Minimum | 0 |
| Maximum | 17 |
| Zeros | 108 |
| Zeros (%) | 14.4% |
| Memory size | 5.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 3 |
| Q3 | 6 |
| 95-th percentile | 10 |
| Maximum | 17 |
| Range | 17 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 3.375189327 |
|---|---|
| Coefficient of variation (CV) | 0.8764303778 |
| Kurtosis | 0.1705680019 |
| Mean | 3.85106383 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 0.9072902384 |
| Sum | 2896 |
| Variance | 11.39190299 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 1 | 132 | 17.6% | |
| 0 | 108 | 14.4% | |
| 2 | 101 | 13.4% | |
| 3 | 74 | 9.8% | |
| 4 | 68 | 9.0% | |
| 5 | 55 | 7.3% | |
| 6 | 48 | 6.4% | |
| 7 | 44 | 5.9% | |
| 8 | 37 | 4.9% | |
| 9 | 28 | 3.7% | |
| Other values (7) | 57 | 7.6% |
| Value | Count | Frequency (%) | |
| 0 | 108 | 14.4% | |
| 1 | 132 | 17.6% | |
| 2 | 101 | 13.4% | |
| 3 | 74 | 9.8% | |
| 4 | 68 | 9.0% |
| Value | Count | Frequency (%) | |
| 17 | 1 | 0.1% | |
| 15 | 1 | 0.1% | |
| 14 | 2 | 0.3% | |
| 13 | 10 | 1.3% | |
| 12 | 9 | 1.2% |
Glucose
Real number (ℝ≥0)
| Distinct count | 135 |
|---|---|
| Unique (%) | 18.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 121.94148936170212 |
|---|---|
| Minimum | 44.0 |
| Maximum | 199.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 5.9 KiB |
Quantile statistics
| Minimum | 44 |
|---|---|
| 5-th percentile | 80 |
| Q1 | 99.75 |
| median | 117 |
| Q3 | 141 |
| 95-th percentile | 181 |
| Maximum | 199 |
| Range | 155 |
| Interquartile range (IQR) | 41.25 |
Descriptive statistics
| Standard deviation | 30.60119806 |
|---|---|
| Coefficient of variation (CV) | 0.2509498467 |
| Kurtosis | -0.2954030665 |
| Mean | 121.9414894 |
| Median Absolute Deviation (MAD) | 20 |
| Skewness | 0.5226732772 |
| Sum | 91700 |
| Variance | 936.4333229 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 100 | 17 | 2.3% | |
| 99 | 17 | 2.3% | |
| 129 | 14 | 1.9% | |
| 111 | 14 | 1.9% | |
| 106 | 14 | 1.9% | |
| 112 | 13 | 1.7% | |
| 108 | 13 | 1.7% | |
| 95 | 13 | 1.7% | |
| 125 | 13 | 1.7% | |
| 109 | 12 | 1.6% | |
| Other values (125) | 612 | 81.4% |
| Value | Count | Frequency (%) | |
| 44 | 1 | 0.1% | |
| 56 | 1 | 0.1% | |
| 57 | 2 | 0.3% | |
| 61 | 1 | 0.1% | |
| 62 | 1 | 0.1% |
| Value | Count | Frequency (%) | |
| 199 | 1 | 0.1% | |
| 198 | 1 | 0.1% | |
| 197 | 4 | 0.5% | |
| 196 | 3 | 0.4% | |
| 195 | 2 | 0.3% |
| Distinct count | 46 |
|---|---|
| Unique (%) | 6.4% |
| Missing | 28 |
| Missing (%) | 3.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 72.40055248618785 |
|---|---|
| Minimum | 24.0 |
| Maximum | 122.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 5.9 KiB |
Quantile statistics
| Minimum | 24 |
|---|---|
| 5-th percentile | 52 |
| Q1 | 64 |
| median | 72 |
| Q3 | 80 |
| 95-th percentile | 91.7 |
| Maximum | 122 |
| Range | 98 |
| Interquartile range (IQR) | 16 |
Descriptive statistics
| Standard deviation | 12.37987032 |
|---|---|
| Coefficient of variation (CV) | 0.1709913792 |
| Kurtosis | 0.9228827146 |
| Mean | 72.40055249 |
| Median Absolute Deviation (MAD) | 8 |
| Skewness | 0.1376292303 |
| Sum | 52418 |
| Variance | 153.2611892 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 70 | 57 | 7.6% | |
| 74 | 51 | 6.8% | |
| 78 | 45 | 6.0% | |
| 72 | 44 | 5.9% | |
| 68 | 43 | 5.7% | |
| 64 | 42 | 5.6% | |
| 80 | 39 | 5.2% | |
| 76 | 39 | 5.2% | |
| 60 | 37 | 4.9% | |
| 62 | 34 | 4.5% | |
| Other values (36) | 293 | 39.0% |
| Value | Count | Frequency (%) | |
| 24 | 1 | 0.1% | |
| 30 | 2 | 0.3% | |
| 38 | 1 | 0.1% | |
| 40 | 1 | 0.1% | |
| 44 | 4 | 0.5% |
| Value | Count | Frequency (%) | |
| 122 | 1 | 0.1% | |
| 114 | 1 | 0.1% | |
| 110 | 3 | 0.4% | |
| 108 | 2 | 0.3% | |
| 106 | 3 | 0.4% |
SkinThickness
Real number (ℝ≥0)
| Distinct count | 51 |
|---|---|
| Unique (%) | 6.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 29.172284644194754 |
|---|---|
| Minimum | 7.0 |
| Maximum | 99.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 5.9 KiB |
Quantile statistics
| Minimum | 7 |
|---|---|
| 5-th percentile | 14 |
| Q1 | 25 |
| median | 29.17228464 |
| Q3 | 32 |
| 95-th percentile | 44 |
| Maximum | 99 |
| Range | 92 |
| Interquartile range (IQR) | 7 |
Descriptive statistics
| Standard deviation | 8.852102582 |
|---|---|
| Coefficient of variation (CV) | 0.303442212 |
| Kurtosis | 5.344832133 |
| Mean | 29.17228464 |
| Median Absolute Deviation (MAD) | 3.827715356 |
| Skewness | 0.8162601036 |
| Sum | 21937.55805 |
| Variance | 78.35972012 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 29.17228464 | 218 | 29.0% | |
| 32 | 30 | 4.0% | |
| 30 | 27 | 3.6% | |
| 27 | 23 | 3.1% | |
| 23 | 20 | 2.7% | |
| 33 | 20 | 2.7% | |
| 28 | 20 | 2.7% | |
| 18 | 20 | 2.7% | |
| 31 | 19 | 2.5% | |
| 19 | 18 | 2.4% | |
| Other values (41) | 337 | 44.8% |
| Value | Count | Frequency (%) | |
| 7 | 2 | 0.3% | |
| 8 | 2 | 0.3% | |
| 10 | 5 | 0.7% | |
| 11 | 6 | 0.8% | |
| 12 | 7 | 0.9% |
| Value | Count | Frequency (%) | |
| 99 | 1 | 0.1% | |
| 63 | 1 | 0.1% | |
| 60 | 1 | 0.1% | |
| 56 | 1 | 0.1% | |
| 54 | 2 | 0.3% |
| Distinct count | 184 |
|---|---|
| Unique (%) | 46.9% |
| Missing | 360 |
| Missing (%) | 47.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 156.05612244897958 |
|---|---|
| Minimum | 14.0 |
| Maximum | 846.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 5.9 KiB |
Quantile statistics
| Minimum | 14 |
|---|---|
| 5-th percentile | 42.55 |
| Q1 | 76.75 |
| median | 125.5 |
| Q3 | 190 |
| 95-th percentile | 396.5 |
| Maximum | 846 |
| Range | 832 |
| Interquartile range (IQR) | 113.25 |
Descriptive statistics
| Standard deviation | 118.8416898 |
|---|---|
| Coefficient of variation (CV) | 0.7615317355 |
| Kurtosis | 6.356505089 |
| Mean | 156.0561224 |
| Median Absolute Deviation (MAD) | 54.5 |
| Skewness | 2.165116186 |
| Sum | 61174 |
| Variance | 14123.34723 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 105 | 11 | 1.5% | |
| 140 | 9 | 1.2% | |
| 130 | 9 | 1.2% | |
| 120 | 8 | 1.1% | |
| 94 | 7 | 0.9% | |
| 100 | 7 | 0.9% | |
| 180 | 7 | 0.9% | |
| 110 | 6 | 0.8% | |
| 135 | 6 | 0.8% | |
| 115 | 6 | 0.8% | |
| Other values (174) | 316 | 42.0% | |
| (Missing) | 360 | 47.9% |
| Value | Count | Frequency (%) | |
| 14 | 1 | 0.1% | |
| 15 | 1 | 0.1% | |
| 16 | 1 | 0.1% | |
| 18 | 2 | 0.3% | |
| 22 | 1 | 0.1% |
| Value | Count | Frequency (%) | |
| 846 | 1 | 0.1% | |
| 744 | 1 | 0.1% | |
| 680 | 1 | 0.1% | |
| 600 | 1 | 0.1% | |
| 579 | 1 | 0.1% |
BMI
Real number (ℝ≥0)
| Distinct count | 246 |
|---|---|
| Unique (%) | 32.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 32.45465425531915 |
|---|---|
| Minimum | 18.2 |
| Maximum | 67.1 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 5.9 KiB |
Quantile statistics
| Minimum | 18.2 |
|---|---|
| 5-th percentile | 22.2 |
| Q1 | 27.5 |
| median | 32.3 |
| Q3 | 36.6 |
| 95-th percentile | 44.5 |
| Maximum | 67.1 |
| Range | 48.9 |
| Interquartile range (IQR) | 9.1 |
Descriptive statistics
| Standard deviation | 6.928926198 |
|---|---|
| Coefficient of variation (CV) | 0.2134956097 |
| Kurtosis | 0.8748420787 |
| Mean | 32.45465426 |
| Median Absolute Deviation (MAD) | 4.6 |
| Skewness | 0.5968157768 |
| Sum | 24405.9 |
| Variance | 48.01001826 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 32 | 12 | 1.6% | |
| 31.2 | 12 | 1.6% | |
| 31.6 | 12 | 1.6% | |
| 32.4 | 10 | 1.3% | |
| 33.3 | 10 | 1.3% | |
| 30.8 | 9 | 1.2% | |
| 32.8 | 9 | 1.2% | |
| 32.9 | 9 | 1.2% | |
| 30.1 | 9 | 1.2% | |
| 34.2 | 8 | 1.1% | |
| Other values (236) | 652 | 86.7% |
| Value | Count | Frequency (%) | |
| 18.2 | 3 | 0.4% | |
| 18.4 | 1 | 0.1% | |
| 19.1 | 1 | 0.1% | |
| 19.3 | 1 | 0.1% | |
| 19.4 | 1 | 0.1% |
| Value | Count | Frequency (%) | |
| 67.1 | 1 | 0.1% | |
| 59.4 | 1 | 0.1% | |
| 57.3 | 1 | 0.1% | |
| 55 | 1 | 0.1% | |
| 53.2 | 1 | 0.1% |
DiabetesPedigreeFunction
Real number (ℝ≥0)
| Distinct count | 511 |
|---|---|
| Unique (%) | 68.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.47305053191489366 |
|---|---|
| Minimum | 0.078 |
| Maximum | 2.42 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 5.9 KiB |
Quantile statistics
| Minimum | 0.078 |
|---|---|
| 5-th percentile | 0.141 |
| Q1 | 0.244 |
| median | 0.377 |
| Q3 | 0.6275 |
| 95-th percentile | 1.13105 |
| Maximum | 2.42 |
| Range | 2.342 |
| Interquartile range (IQR) | 0.3835 |
Descriptive statistics
| Standard deviation | 0.3301080525 |
|---|---|
| Coefficient of variation (CV) | 0.6978283085 |
| Kurtosis | 5.592024879 |
| Mean | 0.4730505319 |
| Median Absolute Deviation (MAD) | 0.17 |
| Skewness | 1.9040609 |
| Sum | 355.734 |
| Variance | 0.1089713263 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 0.258 | 6 | 0.8% | |
| 0.254 | 6 | 0.8% | |
| 0.238 | 5 | 0.7% | |
| 0.207 | 5 | 0.7% | |
| 0.259 | 5 | 0.7% | |
| 0.268 | 5 | 0.7% | |
| 0.692 | 4 | 0.5% | |
| 0.263 | 4 | 0.5% | |
| 0.197 | 4 | 0.5% | |
| 0.551 | 4 | 0.5% | |
| Other values (501) | 704 | 93.6% |
| Value | Count | Frequency (%) | |
| 0.078 | 1 | 0.1% | |
| 0.084 | 1 | 0.1% | |
| 0.085 | 2 | 0.3% | |
| 0.088 | 2 | 0.3% | |
| 0.089 | 1 | 0.1% |
| Value | Count | Frequency (%) | |
| 2.42 | 1 | 0.1% | |
| 2.329 | 1 | 0.1% | |
| 2.288 | 1 | 0.1% | |
| 2.137 | 1 | 0.1% | |
| 1.893 | 1 | 0.1% |
Age
Real number (ℝ≥0)
| Distinct count | 52 |
|---|---|
| Unique (%) | 6.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 33.3125 |
|---|---|
| Minimum | 21 |
| Maximum | 81 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 5.9 KiB |
Quantile statistics
| Minimum | 21 |
|---|---|
| 5-th percentile | 21 |
| Q1 | 24 |
| median | 29 |
| Q3 | 41 |
| 95-th percentile | 58 |
| Maximum | 81 |
| Range | 60 |
| Interquartile range (IQR) | 17 |
Descriptive statistics
| Standard deviation | 11.70939523 |
|---|---|
| Coefficient of variation (CV) | 0.3515015455 |
| Kurtosis | 0.6166577132 |
| Mean | 33.3125 |
| Median Absolute Deviation (MAD) | 7 |
| Skewness | 1.116815734 |
| Sum | 25051 |
| Variance | 137.1099368 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 22 | 68 | 9.0% | |
| 21 | 59 | 7.8% | |
| 25 | 47 | 6.2% | |
| 24 | 45 | 6.0% | |
| 23 | 38 | 5.1% | |
| 28 | 35 | 4.7% | |
| 26 | 32 | 4.3% | |
| 27 | 32 | 4.3% | |
| 29 | 29 | 3.9% | |
| 31 | 24 | 3.2% | |
| Other values (42) | 343 | 45.6% |
| Value | Count | Frequency (%) | |
| 21 | 59 | 7.8% | |
| 22 | 68 | 9.0% | |
| 23 | 38 | 5.1% | |
| 24 | 45 | 6.0% | |
| 25 | 47 | 6.2% |
| Value | Count | Frequency (%) | |
| 81 | 1 | 0.1% | |
| 72 | 1 | 0.1% | |
| 70 | 1 | 0.1% | |
| 69 | 1 | 0.1% | |
| 68 | 1 | 0.1% |
Outcome
Boolean
| Distinct count | 2 |
|---|---|
| Unique (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.9 KiB |
| 0 | |
|---|---|
| 1 |
| Value | Count | Frequency (%) | |
| 0 | 488 | 64.9% | |
| 1 | 264 | 35.1% |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.First rows
| df_index | Pregnancies | Glucose | BloodPressure | SkinThickness | Insulin | BMI | DiabetesPedigreeFunction | Age | Outcome | |
|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 6 | 148.0 | 72.0 | 35.000000 | NaN | 33.6 | 0.627 | 50 | 1 |
| 1 | 1 | 1 | 85.0 | 66.0 | 29.000000 | NaN | 26.6 | 0.351 | 31 | 0 |
| 2 | 2 | 8 | 183.0 | 64.0 | 29.172285 | NaN | 23.3 | 0.672 | 32 | 1 |
| 3 | 3 | 1 | 89.0 | 66.0 | 23.000000 | 94.0 | 28.1 | 0.167 | 21 | 0 |
| 4 | 4 | 0 | 137.0 | 40.0 | 35.000000 | 168.0 | 43.1 | 2.288 | 33 | 1 |
| 5 | 5 | 5 | 116.0 | 74.0 | 29.172285 | NaN | 25.6 | 0.201 | 30 | 0 |
| 6 | 6 | 3 | 78.0 | 50.0 | 32.000000 | 88.0 | 31.0 | 0.248 | 26 | 1 |
| 7 | 7 | 10 | 115.0 | NaN | 29.172285 | NaN | 35.3 | 0.134 | 29 | 0 |
| 8 | 8 | 2 | 197.0 | 70.0 | 45.000000 | 543.0 | 30.5 | 0.158 | 53 | 1 |
| 9 | 10 | 4 | 110.0 | 92.0 | 29.172285 | NaN | 37.6 | 0.191 | 30 | 0 |
Last rows
| df_index | Pregnancies | Glucose | BloodPressure | SkinThickness | Insulin | BMI | DiabetesPedigreeFunction | Age | Outcome | |
|---|---|---|---|---|---|---|---|---|---|---|
| 742 | 758 | 1 | 106.0 | 76.0 | 29.172285 | NaN | 37.5 | 0.197 | 26 | 0 |
| 743 | 759 | 6 | 190.0 | 92.0 | 29.172285 | NaN | 35.5 | 0.278 | 66 | 1 |
| 744 | 760 | 2 | 88.0 | 58.0 | 26.000000 | 16.0 | 28.4 | 0.766 | 22 | 0 |
| 745 | 761 | 9 | 170.0 | 74.0 | 31.000000 | NaN | 44.0 | 0.403 | 43 | 1 |
| 746 | 762 | 9 | 89.0 | 62.0 | 29.172285 | NaN | 22.5 | 0.142 | 33 | 0 |
| 747 | 763 | 10 | 101.0 | 76.0 | 48.000000 | 180.0 | 32.9 | 0.171 | 63 | 0 |
| 748 | 764 | 2 | 122.0 | 70.0 | 27.000000 | NaN | 36.8 | 0.340 | 27 | 0 |
| 749 | 765 | 5 | 121.0 | 72.0 | 23.000000 | 112.0 | 26.2 | 0.245 | 30 | 0 |
| 750 | 766 | 1 | 126.0 | 60.0 | 29.172285 | NaN | 30.1 | 0.349 | 47 | 1 |
| 751 | 767 | 1 | 93.0 | 70.0 | 31.000000 | NaN | 30.4 | 0.315 | 23 | 0 |